中文摘要：

针对航路规划问题,分析了群桥水域特征.将群桥水域桥墩建模为纵向等间距的近距离连续障碍物,并以航路长度和障碍物威胁代价建立了群桥水域航路代价模型,分别运用粒子群算法、人工蜂群算法和人工鱼群算法3种仿生智能算法对该问题进行了求解.对AFSA算法中不同参数取值进行优化研究,并最终确定了较优的参数组合,得出了3种算法均能解决航路规划问题的结论,并对3种算法优缺点进行了对比分析.ABC算法收敛速度较慢,AFSA算法稳定性较差且计算耗时较长,确定了算法优化方向,为后期开展复杂情况下群桥水域航路规划研究奠定了基础.

英文摘要：

To solve the problem of ship route planning in multi-bridges water area, the route cost model based on length of route and was established after analyzing the water features. Then, the PSO, ABC and AFSA algorithm are used to solve the model. It turns out that all of the three bionic intelligent al- gorithm are able to be used to solve this problem. The pros and cons are analyzed, which lays thefoundation for the further study on this question.